Yi Qiang
Mar. 17, 2017
Risk = Extreme event * Exposure * Vulnerability
Can be defined statistically

Resilience is defined as the ability of a system and its components to anticipate, absorb, accommodate, or recover from the effects of a hazardous event in a timely and efficient manner.
Resilience more reflect a dynamic process along the disaster cycle

Assuming the objectives (human community, cropland, infrastructure) does not move in space. In most cases, mitigation plans, vulnerability reduction, resilience building do not include migration.
Cutter, S. L., Barnes, L., Berry, M., Burton, C., Evans, E., Tate, E., & Webb, J. (2008). A place-based model for understanding community resilience to natural disasters. Global Environmental Change, 18(4), 598-606.
Setting a threshold, all areas below the threshold will be innundated.
Overlay with population data to estimate impacted population - Exposure
FEMA flood zones (100-year-flood zone)

Zoom-in to interesting clusters
Estimate population in each urban pixel
geographical weighted regression
Overlay with population - % of population in 100-year-flood zones
25.3 million (8.3%) of population in the contiguous U.S. are in flood zone
Top 10 counties ranked by %population in FEMA flood zone
Cutter, S. L., Boruff, B. J., & Shirley, W. L. (2003). Social vulnerability to environmental hazards. Social Science Quarterly, 84(2), 242-261.
Supported by textual desrciption in literature
Determine the influencing direction of variables (negative or positive)

Cutter, S. L., Burton, C. G., & Emrich, C. T. (2010). Disaster Resilience Indicators for Benchmarking Baseline Conditions. Journal of Homeland Security and Emergency Management, 7(1), 14.
36 variables describe 5 subcomponents of resilience, including Social resilience, Economic resilience, Institutional resilience, Infrastracture resilience, Community capital
Variables in each subcomponent were added together with equal weights
Finally, the 5 subcomponents were added with equal weights.
Assignment
https://github.com/qiang-yi/GEOG489/blob/master/labs/lab5_sea_level_rise.docx
Due date: April 7